COLING
2010
12 years 11 months ago
2010
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...
IEICET
2007
13 years 4 months ago
2007
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
NIPS
2003
13 years 6 months ago
2003
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
ICIP
2002
IEEE
13 years 9 months ago
2002
IEEE
Most model based rate control solutions have the generally questionable assumption that video sequence is stationary, and also suffer from the fundamental problems of model parame...
ISQED
2008
IEEE
13 years 11 months ago
2008
IEEE
The effects of random variations during the manufacturing process on devices can be simulated as a variation of transistor parameters. Device degradation, due to temperature or vo...
WWW
2010
ACM
13 years 11 months ago
2010
ACM
Result diversity is a topic of great importance as more facets of queries are discovered and users expect to find their desired facets in the first page of the results. However,...